Xiaomi 23049RAD8C
Geekbench ML Score
762
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | February 23 2024 01:45 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23049RAD8C |
| Model ID | Xiaomi 23049RAD8C |
| Motherboard | marble |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 2.92 GHz |
| Memory Information | |
|---|---|
| Size | 7.01 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
375
70.2 IPS |
|
|
Image Classification (F16)
|
100% |
374
70.0 IPS |
|
|
Image Classification (I8)
|
97% |
642
120.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
479
7.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
478
7.99 IPS |
|
|
Image Segmentation (I8)
|
98% |
548
9.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
962
1.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
965
1.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
3398
4.12 IPS |
|
|
Object Detection (F32)
|
100% |
367
27.4 IPS |
|
|
Object Detection (F16)
|
100% |
377
28.2 IPS |
|
|
Object Detection (I8)
|
61% |
816
60.9 IPS |
|
|
Face Detection (F32)
|
100% |
857
10.2 IPS |
|
|
Face Detection (F16)
|
100% |
854
10.1 IPS |
|
|
Face Detection (I8)
|
86% |
1338
15.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
938
7.28 IPS |
|
|
Depth Estimation (F16)
|
100% |
933
7.24 IPS |
|
|
Depth Estimation (I8)
|
95% |
1681
13.0 IPS |
|
|
Style Transfer (F32)
|
100% |
1797
2.36 IPS |
|
|
Style Transfer (F16)
|
100% |
1808
2.38 IPS |
|
|
Style Transfer (I8)
|
98% |
3284
4.32 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
552
19.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
547
19.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1420
50.7 IPS |
|
|
Text Classification (F32)
|
100% |
412
592.8 IPS |
|
|
Text Classification (F16)
|
100% |
415
597.1 IPS |
|
|
Text Classification (I8)
|
92% |
305
438.9 IPS |
|
|
Machine Translation (F32)
|
100% |
814
15.0 IPS |
|
|
Machine Translation (F16)
|
100% |
810
14.9 IPS |
|
|
Machine Translation (I8)
|
64% |
319
5.87 IPS |
